Senior ML Data Scientist (NLP)

Company Description

, a leading Human Experience (HX) healthcare performance improvement company, provides an integrated suite of solutions targeting safety, clinical excellence, patient experience, and workforce engagement. Collaborating with over 41,000 healthcare facilities, the company propels its mission to reduce patient suffering and boost caregiver resilience, thereby enhancing safety, quality, and overall care experience. Press Ganey operates as a PG Forsta company.

Job Description

Press Ganey seeks a self-driven senior machine learning data scientist with NLP experience. The primary objective is to analyse linguistic data, along with building, evaluating, and deploying ML models. Ideal candidates may have experiences with healthcare facilities such as hospitals, inpatient settings, outpatient settings, and emergency departments, but it's not necessary. The role demands high autonomy and the creative application of NLP techniques to novel problems.

Duties & Responsibilities

• Develop, test, and implement learning models on language datasets, write complex data analysis and machine learning code in Python, and transition models into production.
• Spearhead identification and integration of NLP analysis expansions, and build additional NLP pipelines and models for different or anomalous data types.
• Provide NLP analysis and general analytics support to the QA team and others involved with data review or analysis communication.
• Manage large language data annotation projects for model construction and evaluation.
• Work together with stakeholders to establish the scope of innovative projects.
• Collaborate closely with other data scientists and engineers.
• Interpret and communicate analytic strategies and results to analytical and non-analytical business partners and executive decision-makers.
• Document work.
• Provide mentorship to junior teammates.

Technical Skills

• Experience with ML (Scikit-learn) and deep learning frameworks (PyTorch or Tensor Flow)
• Understanding and experience with neural networks and BERT-style language models.
• Information extraction evaluation (precision, recall, F1).
• Familiarity with word embedding algorithms, clustering methods, and traditional statistical NLP approaches such as bag of words analyses and TF-IDF.
• Some experience with modern large language models, including the OpenAI family of models (ChatGPT, etc) or Med-PaLM.
• Experience with MLOps.
• Exposure to containerization and microservices.
• Familiarity with Databricks is a plus.

Qualifications

• Minimum of 5 years of Data Science experience in an enterprise environment
• Bachelor's degree in technology or similar field required

Additional Information

All opportunities at Press Ganey require the applicant, upon accepting an offer, to pass a background check. Specific checks are dependent on the role. Background checks might include some or all of the following: SSN/SIN validation, education verification, employment verification, criminal check, search against global sanctions and government watch lists, fingerprint verification, credit check, and/or drug testing. By applying for a position with Press Ganey, you acknowledge that you may need to undergo a background check if an offer is made. You also understand that the offer depends on a successful background check that is consistent with Press Ganey's employment policies. You will be informed during the recruitment process about which checks are needed for the role. 

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer, highly committed to diversity in the workforce. We prohibit discrimination against any employee or job applicant due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other federal, state, or locally protected class. 

Non-Discrimination Notice for Pay Transparency – Press Ganey forbids any discrimination or retaliation against employees or applicants since they have inquired, discussed, or disclosed their own pay or another employee's pay. However, employees, as part of their essential job functions that have access to the compensation information of other employees or applicants, can’t disclose others' pay unless the disclosure is (a) in response to a formal complaint or charge, (b) to progress an investigation, proceeding, hearing, or action, including an employer-led investigation, or (c) in line with the contractor's legal obligation to provide information. 

The expected base salary for this position varies from $110,000 to $130,000. It is rare for offers to be made at or near the higher end of the range. Salary offers are based on a myriad of factors including relevant skills, training, experience, education, licensures, or certifications acquired. Market and organizational factors are also considered. Besides base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.  

All your information will be kept confidential according to EEO guidelines.

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